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dktp

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Agreed

I did the full 100. It's not even 1/4, with the harder ones when one description is significantly longer than others, it's the correct one. Even outside that 2 choices are usually some object - which I think is never the correct answer

I'd also say the toughness should be mixed up a little. The last 30 or so became a slog

Cool idea though!

People take pride in wearing handmade watches

As of today, I've never heard of anyone taking pride in using a SaaS or frequenting a website or an app because it was handcrafted. Maybe some day

I would guess it's purely because Grok isn't nearly in-demand enough to produce meaningful revenue. And they want to juice the numbers for IPO

And I'm sure it's a bonus point for Musk that it goes to OpenAI's most relevant competitor

ChatGPT Images 2.0 3 months ago

One interesting thing I found comparing OpenAI and Gemini image editing is - Gemini rejects anything involving a well known person. Anything. OpenAI is happy to edit and change every time I tried

I have a sideproject where I want to display standup comedies. I thought I could edit standup comedy posters with some AI to fit my design. Gemini straight up refuses to change any image of any standup comedy poster involving a well know human. OpenAI does not care and is happy to edit away

I think these pledges offload some of the risk onto Amazon/Oracle/etc

If Anthropic/OpenAI miss projections, infra providers can somewhat likely still turn around and sell it to the next guy or use it themselves. If they have more demand than expected (as Anthropic currently does), vcs will throw money at them and they can outbid the competition

If they built it themselves and missed projections it's a much more expensive mistake

It's just risk sharing. Infra providers take some of the risk and some of the upside

The idea is that smarter models might use fewer turns to accomplish the same task - reducing the overall token usage

Though, from my limited testing, the new model is far more token hungry overall

From recent personal examples

We have a somewhat complicated OpenSearch reindexing logic and we had some issue where it happened more regularly than it should. I vibecoded a dashboard visualizing in a graph exactly which index gets reindexed when and into what. Code works, a little rough around the edges. But it serves the purpose and saved me a ton of time

Another example, in an internal project we made a recent change where we need to send specific headers depending on the environment. Mostly GET endpoint where my workflow is checking the API through browser. The list of headers is long, but predetermined. I vibecoded an extension that lets you pick the header and allows me to work with my regular workflow, rather than Postman or cURL or whatever. A little buggy UI, but good enough. The whole team uses it

I'm not a frontend developer and either of these would take me a lot of time to do by hand

My best guess is that Nvidia is unhappy with how OpenAI is fishing for compute with its competitors (Jensen had some opinions on the AMD-OpenAI deal when it was announced). If this actually becomes a feasible reality, it gives OpenAI (and co) negotiating power - which is bad for Nvidia

Nvidia might have wanted more exclusivity/attachment. And OpenAI still seems to have no problem raising money. So maybe there was just a commitment mismatch

Pure speculation though

I would agree. I've been using VSCode Copilot for the past (nearly) year. And it has gotten significantly better. I also use CC and Antigravity privately - and got access to Cursor (on top of VSCode) at work a month ago

CC is, imo, the best. The rest are largely on pair with each other. The benefit of VSCode and Antigravity is that they have the most generous limits. I ran through Cursor $20 limits in 3 days, where same tier VSCode subscription can last me 2+ weeks

Right. But a good portion of the world can't afford the premium and having access to these services is still valuable. For every broke student or someone from a poor background, who probably don't make any money for the company (due to not buying advertised stuff), there's someone from a well off background, who will more than subsidize it by virtue of clicking on a lawyer ad (or whatever)

Nowadays I'm happy to pay, but that wasn't always the case. And I personally think that having an ad tier and fee tier is fine. Serves everyone

From a very entertaining Matt Levine article (https://archive.is/8QYxl)

In a science fiction story, if you invented a superintelligent robot and asked it how to make money, it might come up with cool never-before-seen ideas, or at least massive fun market manipulation. But in real life, if you train a large language model on the internet and ask it how to make money, it will say “advertising, affiliate shopping links and porn.” That’s the lesson the internet teaches!

But I think it makes a lot of sense for very popular consumer products. In my honest opinion, I much prefer having services like Google, Youtube, Gmail, Maps, ChatGPT etc exist for free, but with ads, rather than not exist at all. Preferably with an option to pay and remove ads

Nowadays I'm happy to pay for Youtube premium or LLM, but back during my student days I could not really afford it - and I'm glad there was a free tier (with ads)

My guess is that this is bigger lock-in than it might seem on paper.

Google and Apple together will posttrain Gemini to Apple's specification. Google has the know-how as well as infra and will happily do this (for free ish) to continue the mutually beneficial relationship - as well as lock out competitors that asked for more money (Anthropic)

Once this goes live, provided Siri improves meaningfully, it is quite an expensive experiment to then switch to a different provider.

For any single user, the switching costs to a different LLM are next to nothing. But at Apple's scale they need to be extremely careful and confident that the switch is an actual improvement

OpenAI is (was?) extremely good at making things that go viral. The successful ones for sure boost subscriber count meaningfully

Studio Ghibli, Sora app. Go viral, juice numbers then turn the knobs down on copyrighted material. Atlas I believe was a less successful than they would've hoped for.

And because of too frequent version bumps that are sometimes released as an answer to Google's launch, rather than a meaningful improvement - I believe they're also having harder time going viral that way

Overall OpenAI throws stuff at the wall and see what sticks. Most of it doesn't and gets (semi) abandoned. But some of it does and it makes for better consumer product than Gemini

It seems to have worked well so far, though I'm sceptical it will be enough for long

Deep research, from my experience, will always add lectures.

I'm trying to create a comprehensive list of English standup specials. Seems like a good fit! I've tried numerous times to prompt it "provide a comprehensive list of English standup specials released between 2000 and 2005. The output needs to be a csv of verified specials with the author, release date and special name. I do not want any other lecture or anything else. Providing anything except the csv is considered a failure". Then it creates it's own plan and I go further clarifying to explicitly make sure I don't want lectures...

It goes on to hallucinate a bunch of specials and provide a lecture on "2000 the era of X on standup comedy" (for each year)

I've tried this in 2.5 and 3. Numerous time ranges and prompts. Same result. It gets the famous specials right (usually), hallucinates some info on less famous ones (or makes them up completely) and misses anything more obscure

I used to main Pixelbook (1st gen) for about a year. ChromeOS really is enough for the majority of day to day stuff. For development it allows you to run linux environment inside ChromeOS

I can only assume the Aluminium OS would aim to do the same

I think specifically latest Pixels are often Google's beta testers. The enthusiasts owning them are happy to get features first and won't complain too much if it's rough around the edges. The phone is also not big enough revenue driver for them to be afraid that too many people would abandon it due to buggy new features

Then I assume they'll roll it out further

For better or worse, I do own Pixel 10

Gemini 3 8 months ago

It's interesting that grounding with search cost changed from

* 1,500 RPD (free), then $35 / 1,000 grounded prompts

to

* 1,500 RPD (free), then (Coming soon) $14 / 1,000 search queries

It looks like the pricing changed from per-prompt (previous models) to per-search (Gemini 3)

Gemini 3 8 months ago

I also got 1 year through buying my pixel. If you login with the same account through Gemini CLI, it should work (works for me)

However, Gemini CLI is a rather bad product. There is (was?) an issue that makes the CLI fall back to flash very soon in every session. This comment explains it well: https://news.ycombinator.com/item?id=45681063

I haven't used it in a while, except for really minor things, so I can't tell if this is resolved or not

Gemini 3 8 months ago

I don't know either tbh. I wouldn't be surprised it the answer is no (and it will come later or something like that)

I also tried to use Gemini 3 in my Gemini CLI and it's not available yet (it's available to all Ultra, but not all Pro subscribers), I needed to sign up to a waitlist

All in all, Google is terrible at launching things like that in a concise and understandable way

Gemini 3 8 months ago

Google actually changed it somewhat recently (3 months ago, give or take) and you can use Gemini CLI with the "regular" Google AI Pro subscription (~22eur/month). Before that, it required a separate subscription

I can't find the announcement anymore, but you can see it under benefits here https://support.google.com/googleone/answer/14534406?hl=en

The initial separate subscriptions were confusing at best. Current situation is pretty much same as Anthropic/OpenAI - straightforward

Edit: changed ~1 month ago (https://old.reddit.com/r/Bard/comments/1npiv2o/google_ai_pro...)